Data engineer jobs in Wheeling, IL and nearby (136 jobs)

Data engineer jobs within 25 miles of Wheeling, IL. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 136
Employers: 93

Advertised starting pay

Average starting payUSD / year: $122,838Across 34 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 10%14 listings
On-site: 6%8 listings

Not specified: 84% (114 listings)

Employers hiring include Capital One (13), UnitedHealth Group (6), Caterpillar, Inc. (4).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Wheeling, IL and nearby

Within 25 miles

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Added 19 days ago
Data Engineer
tastytrade
Chicago, IL
We’re looking for a Data Engineer to join our Analytics team. You’ll own data pipeline architecture, upskill those around you, and have real influence on how we build our data platform.
Added 19 days ago
Data Engineer
tastylive
Chicago, IL
We’re looking for a Data Engineer to join our Analytics team. You’ll own data pipeline architecture, upskill those around you, and have real influence on how we build our data platform.
Added 19 days ago
AVP, Data Engineer
Vantage Risk Companies
Chicago, IL
Added 20 days ago
IG
Principle Data Engineer
Insight Global
Chicago, IL
- $180,000 to $185,000 USD / year
Extensive data engineering experience at increasing levels of seniority, with a clear track record of delivering production-grade data platforms and pipelines at scale.
Added 22 days ago
Senior Data Engineer
Retail Insight
Chicago, IL
At Retail Insight, we're transforming the way some of the world's biggest retailers and CPG brands use data, analytics and technology to make smarter decisions.
Added 22 days ago
Data Engineer
The Joint Commission
Oakbrook Terrace, IL
The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data
Added 22 days ago
Data Scientists/Data Engineer
Excellerate Education Solutions inc
Palatine, IL
Develop data ingestion processes for structured, semi-structured, and
Added 22 days ago
Senior Data Engineer / Databricks / AI / Chicagoland Area
Kelly Services
Oak Brook, IL
A rapidly growing enterprise organization in the automotive technology and distribution space is seeking a Data Engineer to join its team in Oak Brook, Illinois. This full-time role offers…
Added 22 days ago
Intern – Data Engineer (Hybrid: Onsite & Remote)
US Foods
Rosemont, IL
Added 22 days ago
Senior Data Engineer / Databricks / End-to-End Ownerhp
Kelly Services
Chicago, IL
A well-established, global professional services organization is expanding its Data & AI engineering team and hiring a Data Engineer to support a large-scale cloud data platform initiative.…
Added 22 days ago
Associate Data Engineer 2027 - AI & Data Analytics
IBM
Chicago, IL
…strategy, AI adoption, process redesign, analytics, modern data platforms, and agentic AI-enabled data…
Added 22 days ago
RU
Data Engineer
Rush University Medical Center
Chicago, IL
- $46.07 to $68.64 USD / hour
Added 22 days ago
Sr. Lead Data Engineer
Huron Consulting Group
Chicago, IL
Added 22 days ago
Data Engineer – Physical AI Platform
Caterpillar, Inc.
Chicago, IL
Added 22 days ago
Enterprise Data Engineer
Jenner & Block LLP
Chicago, IL
Jenner & Block is seeking an experienced Enterprise Data Engineer to
Added 22 days ago
Senior Data Engineer
Caterpillar, Inc.
Chicago, IL
Added 22 days ago
Manager, Data Engineer - PySpark
KPMG LLP
Chicago, IL
Added 22 days ago
Senior Manager, Ignition - Tax Data Engineer
KPMG LLP
Chicago, IL
Added 23 days ago
Data Engineer 5, Marketing and Messaging (Enterprise Platform Technology)
Capital One
Chicago, IL · Riverwoods, IL
…real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging…
Added 23 days ago
Sr. Data Engineer
Prolaio
Chicago, IL
Added 23 days ago
Principal Data Engineer
Sunbelt Beverage Company, LLC
Chicago, IL
The Principal Data Engineer is responsible for designing, developing, and optimizing scalable data pipelines, data products, and cloud-based solutions that support business intelligence,…
Added 23 days ago
Data Engineer Healthcare Startup
TechStarsGroup
Chicago, IL
…difference in patient care? Are you inspired by the potential of data and medical research to revolutionize medical treatments? Our Client is seeking a Data Engineer to lead the charge in…
Added 23 days ago
TT
Data Engineer
Tree Top Staffing LLC
Wheeling, IL
- $75,000 to $90,000 USD / year
We are looking for a Data Engineer who will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis.…
Added 23 days ago
Data Engineer Lead
DS Technologies Inc
Lisle, IL
Added 23 days ago
UG
Senior Data Engineer
UnitedHealth Group
Chicago, IL
- $91,700 to $163,700 USD / year

IBM

Associate Data Engineer 2027 - AI & Data Analytics

Chicago, IL, United States

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Job details

Posting language: English
Posted: Aug 15, 2026

Original job description

Introduction

Come forge the future like an IBMer.

Ready to think boldly, work with some of the world's most recognized brands, and kick-start your career? Welcome to IBM's Associate Program for university hires. From day one, you will collaborate with global clients and IBM teams on projects that help organizations solve tough challenges across digital transformation, cloud strategy, AI adoption, process redesign, analytics, modern data platforms, and agentic AI-enabled data transformation.

As an Associate, you will work alongside a global cohort of diverse, ambitious peers and have access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM's AI-driven learning platform, supported by coaches, mentors, and professional communities across practices. IBM's culture of internal mobility means you can explore new technologies, industries, and career paths as your interests evolve.

Bring your curiosity. Grow your skills. Build what's next - like an IBMer. This role is a strong fit for builders who like turning messy data into reliable systems and who want to help make analytics, generative AI, and AI agents useful, reliable, and safe through governed data, trustworthy context, observable pipelines, and secure interfaces to enterprise systems.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.

Your role and responsibilities

As an Associate Data Engineer, you will help design, build, and improve data platforms, data products, and services that support analytics, machine learning, generative AI, and agentic AI solutions. You will work across data gathering, ingestion, transformation, storage, batch and real-time processing, semantic enrichment, retrieval, APIs, visualization, data quality, observability, and governance.

Collaborating closely with diverse teams, you will play an important role in selecting suitable data management systems and identifying the critical data needed for insightful analysis. As a Data Engineer, you will help tackle challenges related to database integration, data quality, and complex structured and unstructured datasets.

Key Responsibilities may include

Assisting designing and implementing scalable data architecture, data products, and management systems for modern cloud environments, analytics, and AI-enabled use cases.
Work on optimizing existing data pipelines, retrieval indexes, and data services for improved performance, reliability, data quality, and freshness of AI-ready context.
Collect, prepare, and analyze structured, semi-structured, and unstructured data to identify trends, providing clients with actionable insights that enhance marketing, operational, and business practices.
Participate in troubleshooting data-related issues, working to solve data quality challenges, retrieval-quality gaps, processing failures, and inconsistencies affecting analytics, generative AI, or agentic workflows.
Create visually compelling and user-friendly dashboards, reports, and observability views to communicate findings, pipeline health, and AI system insights to both technical and non-technical stakeholders.
Ensure data integrity, accuracy, reliability, lineage, and access control through rigorous data cleaning, validation, preprocessing, cataloging, and governance practices.
Work with project teams to prioritize and translate client requirements into current and future operational scenarios, processes, models, use cases, data products, APIs, tool interfaces, plans, and solutions; collaborate with clients, architects, and AI engineers.
Present analytical findings, data quality insights, and recommendations clearly and concisely, demonstrating the value of data-driven and AI-enabled decision-making to clients.
Work with cross-functional teams to tackle complex business problems, utilizing data expertise across cloud platforms, RAG, vector search, APIs, responsible AI, and agent orchestration patterns while staying current on modern data stack trends.

Consulting And Collaboration Skills

Analyze business processes and application portfolios to identify where teams need better data, context, tools, automation, or process optimization.
Use Agile ways of working, planning, and project-management practices to deliver production-ready data and AI solutions.
Communicate with curiosity, clarity, and empathy; ask insightful questions about data meaning, risk, governance, and business impact.

Required technical and professional expertise

High School Diploma/GED.
Familiarity with one or more programming or query languages such as Python, SQL, Java, Scala, or JavaScript.
Foundational understanding of data engineering concepts, including data pipelines, databases, APIs, distributed processing, ETL/ELT, data modeling, or data products.
Basic understanding of cloud computing environments such as AWS, Azure, Google Cloud, IBM Cloud, or similar platforms.
Ability to apply foundational statistical, machine learning, or information retrieval concepts to data preparation, analysis, search, or model-support work.
Interest in AI/ML, generative AI, agentic AI, intelligent automation, RAG, LLM-powered systems, or enterprise AI platforms.
Strong analytical thinking, problem solving, adaptability, teamwork, and communication skills.
Willingness to travel up to 100%, based on project requirements.

Preferred technical and professional experience

Bachelor’s degree in a related field such as Computer Science, Data Science, Statistics, Mathematics, MIS, Engineering, AI/ML, or another quantitative field.
Coursework, projects, internship experience, or portfolio work involving data engineering, software engineering, cloud platforms, analytics, AI/ML, or modern data products.
Experience with technologies such as Spark, Hadoop, Kafka, Airflow, dbt, Databricks, Snowflake, Delta Lake, Linux, or similar platforms.
Familiarity with LLMs, embeddings, vector databases such as Pinecone, Weaviate, orpgvector, retrieval systems, prompt workflows, RAG, and AI agent architectures.
Exposure to orchestration and agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, MCP-based tooling, or similar tools.
Understanding of Git, containers, APIs, testing frameworks, CI/CD, Kubernetes, observability, data governance, privacy, security, or responsible AI practices.
Preferred certifications, coursework, or credentials such as SnowProCore, Google Associate Cloud Engineer, Google Data Engineer coursework, or related cloud/data credentials.
Familiarity with AI coding tools and GenAI concepts, including prompt engineering, RAG, fine-tuning, and model evaluation.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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More about this job

Skills

Data analysis
Machine learning
Data management
Unstructured data
Troubleshooting
Cleaning
Cataloging
Decision making
Collaboration
Business processes
Agile
Project management
Query languages
Python
SQL
Oracle Java
Scala
JavaScript
Data engineering
Data modelling
Cloud computing
AWS
Microsoft Azure
Google Cloud
IBM Cloud
ML
Analytical skills
Problem solving
Adaptability
Teamwork
Communication skills
Computer science
Statistics
MIS
Apache Spark
Apache Hadoop
Apache Kafka
Apache Airflow
dbt
Databricks

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